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A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration Research Articles

Bihao Sun, Jinhui Hu, Dawen Xia, Huaqing Li,huaqingli@swu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11, Pages 1463-1476 doi: 10.1631/FITEE.2000615

Abstract: has been well developed in recent years due to its wide applications in machine learning and signal processing. In this paper, we focus on investigating to minimize a global objective. The objective is a sum of smooth and strongly convex local cost functions which are distributed over an undirected network of nodes. In contrast to existing works, we apply a distributed heavy-ball term to improve the convergence performance of the proposed algorithm. To accelerate the convergence of existing distributed stochastic first-order gradient methods, a momentum term is combined with a gradient-tracking technique. It is shown that the proposed algorithm has better acceleration ability than GT-SAGA without increasing the complexity. Extensive experiments on real-world datasets verify the effectiveness and correctness of the proposed algorithm.

Keywords：分布式优化；高性能算法；多智能体系统；机器学习问题；随机梯度

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Recent progress on the study of distributed economic dispatch in smart grid: an overview Review Articles

Guanghui Wen, Xinghuo Yu, Zhiwei Liu,wenguanghui@gmail.com,x.yu@rmit.edu.au,zwliu@hust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000205

Abstract: Designing an efficient (DED) strategy for the (SG) in the presence of multiple generators plays a paramount role in obtaining various benefits of a new generation power system, such as easy implementation, low maintenance cost, high energy efficiency, and strong robustness against uncertainties. It has drawn a lot of interest from a wide variety of scientific disciplines, including power engineering, control theory, and applied mathematics. We present a state-of-the-art review of some theoretical advances toward DED in the SG, with a focus on the literature published since 2015. We systematically review the recent results on this topic and subsequently categorize them into distributed discrete- and continuous-time economic dispatches of the SG in the presence of multiple generators. After reviewing the literature, we briefly present some future research directions in DED for the SG, including the distributed security economic dispatch of the SG, distributed fast economic dispatch in the SG with practical constraints, efficient initialization-free DED in the SG, DED in the SG in the presence of smart energy storage batteries and flexible loads, and DED in the SG with artificial intelligence technologies.

Keywords： Distributed economic dispatch Distributed optimization Smart grid Continuous-time optimization algorithm Discrete-time optimization algorithm

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Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1239-1252 doi: 10.1631/FITEE.2200381

Abstract: In this paper, we address matrix-valued distributed stochastic optimization with inequality and equality constraints, where the objective function is a sum of multiple matrix-valued functions with stochastic variables and the considered problems are solved in a distributed manner. A penalty method is derived to deal with the constraints, and a selection principle is proposed for choosing feasible penalty functions and penalty gains. A distributed optimization algorithm based on the gossip model is developed for solving the stochastic optimization problem, and its convergence to the optimal solution is analyzed rigorously. Two numerical examples are given to demonstrate the viability of the main results.

Keywords： Distributed optimization Matrix-valued optimization Stochastic optimization Penalty method Gossip model

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The enlightenment of distributed energy in foreign countries to China

Du Caicai

Strategic Study of CAE 2015, Volume 17, Issue 3, Pages 84-87

Abstract:

At present, China is vigorously promoting the development of distributed energy, in the background, learning from foreign experience in the development of distributed energy can contribute to the development of distributed energy in China. The paper reviews goals, practice and related policies of distributed energy development in the United States, Germany and Japan, respectively. Then the paper summarizes five enlightenments: the establishment of rules; the set of goals; the reform of power system; the establishment of grid standards; the establishment of economy prompting policies.

Keywords： distributed energy； foreign countries； enlightenment

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Remarks on Distributed Energy System

Song Zhiping

Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 78-84

Abstract:

The emergence of distributed energy system is a matter of great significance relating to implementation of sustainable strategy. As proposed by the author, distributed energy system(DES)is defined as an electric power total system compatible with environment, sited in or in the vicinity of the consumer center area without bulk and/or remote power transmission. The DES concept allows people to build and operate energy system on total energy basis and thus facilitates demand side management as well as a more intelligent use of energy. It is considered essential for fossil fueled DES that energy is utilized in a cascade way matching the energy quality supplied and needed. DES also opens the most effective way of implementation of Combined Heat & Power as well as multi-generation. While the preferable choice of primary energy might be the clean fuel such as natural gas, but from the long-term point of view, the clean coal technology should not be excluded from the DES category. Although there is a great deal of interest in micro-turbines at the moment, combustion engines still have their tremendous potential for DES application.

Keywords： distributed energy system sustainable strategy Combined Heat & Power multi-generation

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Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles Research Article

Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7, Pages 1020-1031 doi: 10.1631/FITEE.2100559

Abstract: We investigate a for formations with external disturbances and obstacles. The strategy is based on a framework and . First, we propose a to estimate the influence of a disturbance, and prove that the observer converges in fixed time using a Lyapunov function. Second, we design an based on topology reconstruction, by which the UAV can save energy and safely pass obstacles. Third, we establish a distributed MPC framework where each UAV exchanges messages only with its neighbors. Further, the cost function of each UAV is designed, by which the UAV formation problem is transformed into a game problem. Finally, we develop LFPIO and use it to solve the Nash equilibrium. Numerical simulations are conducted, and the efficiency of LFPIO based distributed MPC is verified through comparative simulations.

Keywords： Distributed game strategy Unmanned aerial vehicle (UAV) Distributed model predictive control (MPC) Levy flight based pigeon inspired optimization (LFPIO) Non-singular fast terminal sliding mode observer (NFTSMO) Obstacle avoidance strategy

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Pegasus: a distributed and load-balancing fingerprint identification system Article

Yun-xiang ZHAO,Wan-xin ZHANG,Dong-sheng LI,Zhen HUANG,Min-ne LI,Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8, Pages 766-780 doi: 10.1631/FITEE.1500487

Abstract: Fingerprint has been widely used in a variety of biometric identification systems in the past several years due to its uniqueness and immutability. With the rapid development of fingerprint identification techniques, many fingerprint identification systems are in urgent need to deal with large-scale fingerprint storage and high concurrent recognition queries, which bring huge challenges to the system. In this circumstance, we design and implement a distributed and load-balancing fingerprint identification system named Pegasus, which includes a distributed feature extraction subsystem and a distributed feature storage subsystem. The feature extraction procedure combines the Hadoop Image Processing Interface (HIPI) library to enhance its overall processing speed; the feature storage subsystem optimizes MongoDB’s default load balance strategy to improve the efficiency and robustness of Pegasus. Experiments and simulations are carried out, and results show that Pegasus can reduce the time cost by 70% during the feature extraction procedure. Pegasus also balances the difference of access load among front-end mongos nodes to less than 5%. Additionally, Pegasus reduces over 40% of data migration among back-end data shards to obtain a more reasonable data distribution based on the operation load (insertion, deletion, update, and query) of each shard.

Keywords： Distributed fingerprint identification Distributed MongoDB Load balancing

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Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid

徐谦,俞楚天,袁翔,韦梦立,刘洪喆

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1253-1260 doi: 10.1631/FITEE.2200596

Abstract: In this paper, the optimization problem subject to ,N, nonidentical closed convex set constraints is studied. The aim is to design a corresponding distributed optimization algorithm over the fixed unbalanced graph to solve the considered problem. To this end, with the push-sum framework improved, the distributed optimization algorithm is newly designed, and its strict convergence analysis is given under the assumption that the involved graph is strongly connected. Finally, simulation results support the good performance of the proposed algorithm.

Keywords： Distributed optimization Nonidentical constraints Improved push-sum framework

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An incremental ant colony optimization based approach to task assignment to processors for multiprocessor scheduling Article

Hamid Reza BOVEIRI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4, Pages 498-510 doi: 10.1631/FITEE.1500394

Abstract: Optimized task scheduling is one of the most important challenges to achieve high performance in multiprocessor environments such as parallel and distributed systems. Most introduced task-scheduling algorithms are based on the so-called list scheduling technique. The basic idea behind list scheduling is to prepare a sequence of nodes in the form of a list for scheduling by assigning them some priority measurements, and then repeatedly removing the node with the highest priority from the list and allocating it to the processor providing the earliest start time (EST). Therefore, it can be inferred that the makespans obtained are dominated by two major factors: (1) which order of tasks should be selected (sequence subproblem); (2) how the selected order should be assigned to the processors (assignment subproblem). A number of good approaches for overcoming the task sequence dilemma have been proposed in the literature, while the task assignment problem has not been studied much. The results of this study prove that assigning tasks to the processors using the traditional EST method is not optimum; in addition, a novel approach based on the ant colony optimization algorithm is introduced, which can find far better solutions.

Keywords： Ant colony optimization List scheduling Multiprocessor task graph scheduling Parallel and distributed systems

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Research on the distributed power supply system of the Three Gorges floaters

Li Nianjun

Strategic Study of CAE 2010, Volume 12, Issue 6, Pages 99-103

Abstract:

The Long River floater is an important threat to the operation security of the Three Gorges ydropower station. This passage is based on the investigation and analysis of the Three Gorges floaters'amount and character, which proposes an ecological power systematic route of the Three Gorges floaters, aking the floaters' power generation as its major route, the treatment of contamination and the eclaim of resources as its two side routes. It can provide more reliable, cleaner high quality power ervice for the clients through the usage of distributed power technology system. The result of this esearch shows that the complete usage of the Three Gorges floaters for the combined supply of cold nd thermoelectricity can realize the treatment of pollution in the Three Gorges reservoir area, eanwhile, the usage of the Three Gorges floaters as resources, the distributed power supply system an deal with 4.7×10⁴~9.5×10⁴ t of floaters annually, which can save the power as the same amount of .3×10⁴~3.6×10⁴ t of standard coal, and the capital investment recovery period for this project asts for 4.5~8 years, which has favorable technology and economic performance.

Keywords： the Three Gorge floaters pollution distributed power supply

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Resilient distributed economic dispatch of a cyber-power system under DoS attack Research Articles

Feisheng Yang, Xuhui Liang, Xiaohong Guan,yangfeisheng@nwpu.edu.cn,liangxuhui@mail.nwpu.edu.cn,xhguan@sei.xjtu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000201

Abstract: The problem of a smart grid under vicious denial of service (DoS) is the main focus of this paper. Taking the actual situation of power generation as a starting point, a new model is established which takes the environmental pollution penalty into account. For saving the limited bandwidth, a novel distributed event-triggered scheme is proposed to keep the resilience and economy of a class of cyber-power systems when the communication network is subject to malicious DoS attack. Then an improved multi-agent consensus protocol based on the gradient descent idea is designed to solve the minimization problem, and the prerequisites to minimize the system power generation cost are analyzed from the aspects of optimality and stability. Finally, the theoretical results are verified through a single-area 10-generator unit simulation.

Keywords： Economic dispatch Denial of service (DoS) attack Resilient event-triggered scheme Distributed optimization

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Semantic composition of distributed representations for query subtopic mining None

Wei SONG, Ying LIU, Li-zhen LIU, Han-shi WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11, Pages 1409-1419 doi: 10.1631/FITEE.1601476

Abstract:

Inferring query intent is significant in information retrieval tasks. Query subtopic mining aims to find possible subtopics for a given query to represent potential intents. Subtopic mining is challenging due to the nature of short queries. Learning distributed representations or sequences of words has been developed recently and quickly, making great impacts on many fields. It is still not clear whether distributed representations are effective in alleviating the challenges of query subtopic mining. In this paper, we exploit and compare the main semantic composition of distributed representations for query subtopic mining. Specifically, we focus on two types of distributed representations: paragraph vector which represents word sequences with an arbitrary length directly, and word vector composition. We thoroughly investigate the impacts of semantic composition strategies and the types of data for learning distributed representations. Experiments were conducted on a public dataset offered by the National Institute of Informatics Testbeds and Community for Information Access Research. The empirical results show that distributed semantic representations can achieve outstanding performance for query subtopic mining, compared with traditional semantic representations. More insights are reported as well.

Keywords： Subtopic mining Query intent Distributed representation Semantic composition

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Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin Article

Heng Zhou, Chunjie Yang, Youxian Sun

Engineering 2021, Volume 7, Issue 9, Pages 1274-1281 doi: 10.1016/j.eng.2021.04.022

Abstract:

The shortage of computation methods and storage devices has largely limited the development of multiobjective optimization in industrial processes. To improve the operational levels of the process industries, we propose a multi-objective optimization framework based on cloud services and a cloud distribution system. Real-time data from manufacturing procedures are first temporarily stored in a local database, and then transferred to the relational database in the cloud. Next, a distribution system with elastic compute power is set up for the optimization framework. Finally, a multi-objective optimization model based on deep learning and an evolutionary algorithm is proposed to optimize several conflicting goals of the blast furnace ironmaking process. With the application of this optimization service in a cloud factory, iron production was found to increase by 83.91 t∙d^-1, the coke ratio decreased 13.50 kg∙t^-1, and the silicon content decreased by an average of 0.047%.

Keywords： Cloud factory Blast furnace Multi-objective optimization Distributed computation

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Industrial Ethernet Forming New Generation of Distributed System

Fang Laihua,Wu Aiguo,Zhang Zhao,Wang Dongqing

Strategic Study of CAE 2005, Volume 7, Issue 5, Pages 66-69

Abstract:

Feasibility and use of Ethernet in distributed system are discussed. Four industrial Ethernet protocols, which meet the requirement of distributed control, are analyzed, and so are their relative advantages and weakness. The things the device vendors should consider to support these protocols and the means to add Ethernet connectivity to their product are proposed.

Keywords： distributed system industrial Ethernet protocol Ethernet connectivity embedding

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The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System

Zhang Hongwei,Wu Aiguo,Sheng Tao

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 58-62

Abstract:

A VAV system can be treated as a multi-agent system. In this paper, a multi-agent-based distributed intelligent control method is presented to solve the problem of concordance and decoupling in the VAV system. A simulation program of VAV system is set up for control analysis. Through a simulation, this control method has been proved to be satisfactory.

Keywords： VAV agent multi-agent system distributed intelligent control

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Title Author Date Type Operation

A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration

Bihao Sun, Jinhui Hu, Dawen Xia, Huaqing Li,huaqingli@swu.edu.cn

Journal Article

Recent progress on the study of distributed economic dispatch in smart grid: an overview

Guanghui Wen, Xinghuo Yu, Zhiwei Liu,wenguanghui@gmail.com,x.yu@rmit.edu.au,zwliu@hust.edu.cn

Journal Article

Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Journal Article

The enlightenment of distributed energy in foreign countries to China

Du Caicai

Journal Article

Remarks on Distributed Energy System

Song Zhiping

Journal Article

Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles

Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN

Journal Article

Pegasus: a distributed and load-balancing fingerprint identification system

Yun-xiang ZHAO,Wan-xin ZHANG,Dong-sheng LI,Zhen HUANG,Min-ne LI,Xi-cheng LU

Journal Article

Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid

徐谦,俞楚天,袁翔,韦梦立,刘洪喆

Journal Article

An incremental ant colony optimization based approach to task assignment to processors for multiprocessor scheduling

Hamid Reza BOVEIRI

Journal Article

Research on the distributed power supply system of the Three Gorges floaters

Li Nianjun

Journal Article

Resilient distributed economic dispatch of a cyber-power system under DoS attack

Feisheng Yang, Xuhui Liang, Xiaohong Guan,yangfeisheng@nwpu.edu.cn,liangxuhui@mail.nwpu.edu.cn,xhguan@sei.xjtu.edu.cn

Journal Article

Semantic composition of distributed representations for query subtopic mining